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Paper Citation Record · LEDGER

Driver Assistance System Based on Multimodal Data Hazard Detection

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2502.03005.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.03005 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:20:42.925685Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:55.144129Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T19:55:12.926874Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy29
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 218fd9b9-732a-453a-ab23-76d3a3e5ca6c · outbound

This paper cites Crash fatality rates after recreational marijuana legalization in washington and colorado.American journal of public health, 107(8):1329–1331, 2017.

Driver Assistance System Based on Multimodal Data Hazard Detection Crash fatality rates after recreational marijuana legalization in washington and colorado.American journal of public health, 107(8):1329–1331, 2017

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.630189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.704473Z digest=sha256:17b1e75abc418f3fcf75e54e3bcaf437adf146a926f9fcd67f36575e1fabcf9b

Observation 6768ba5f-17a7-4ff5-a778-21bb0432ee55 · outbound

This paper cites Hybrid conditional random field based camera-lidar fusion for road detection.Information Sciences, 432:543–558, 2018.

Driver Assistance System Based on Multimodal Data Hazard Detection Hybrid conditional random field based camera-lidar fusion for road detection.Information Sciences, 432:543–558, 2018

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.609168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.711648Z digest=sha256:b93dd4f767d33e0c9e4c914e95df18c26cd37841f67f940c879fa7205cc2b6bd

Observation 6383c9c3-08c7-44e9-a698-2eebf98c944c · outbound

This paper cites Rbnet: A deep neural network for unified road and road boundary detection.

Driver Assistance System Based on Multimodal Data Hazard Detection Rbnet: A deep neural network for unified road and road boundary detection

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.586135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.718051Z digest=sha256:71875cb4897a7b89ad768235b0ed73494ab79fd56213d533d1ab4a5576e1a55e

Observation dcc852ce-f3ce-4164-b809-68efdf6c8958 · outbound

This paper cites Multinet: Real-time joint semantic reasoning for autonomous driving.

Driver Assistance System Based on Multimodal Data Hazard Detection Multinet: Real-time joint semantic reasoning for autonomous driving

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.567178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.724596Z digest=sha256:701dd1a6e70df0e797992beecf795b8ecc158f68d35d67da84fbf3659b1702ec

Observation 01392115-938c-4c84-8607-64a4a923922b · outbound

This paper cites Transfer learning based hybrid 2d-3d cnn for traffic sign recognition and semantic road detection applied in advanced driver assistance systems.

Driver Assistance System Based on Multimodal Data Hazard Detection Transfer learning based hybrid 2d-3d cnn for traffic sign recognition and semantic road detection applied in advanced driver assistance systems

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.548174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.730638Z digest=sha256:fdcfd37ce6a27952b2c9f98a787f1b745d1a99ca790590b5da28d9550a99544d

Observation c64b16d9-b565-4328-bdd6-484c4b83f762 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Driver Assistance System Based on Multimodal Data Hazard Detection Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T10:20:42.738232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:20:42.738232Z digest=sha256:68eb6d6cac35e6890d1abe816a13613b199c71d1e56c96ec4a9e0d100e70d1c6

Observation 535944ab-3058-4538-8efb-ee48a0fb2f3b · outbound

This paper cites Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection.

Driver Assistance System Based on Multimodal Data Hazard Detection Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:20:42.981448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.745407Z digest=sha256:4cb1dab863a82c638cf412cf694822c1f779a4636d9478a1393173abdf8b119d

Observation a6404bf5-76ab-4a04-b54a-c4cac6d2c3f4 · outbound

This paper cites Real time detection system of driver drowsiness based on representation learning using deep neural networks.Journal of Intelligent & Fuzzy Systems, 36(3):1977– 1985, 2019.

Driver Assistance System Based on Multimodal Data Hazard Detection Real time detection system of driver drowsiness based on representation learning using deep neural networks.Journal of Intelligent & Fuzzy Systems, 36(3):1977– 1985, 2019

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.517007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.752106Z digest=sha256:3c99521d0eb0a731c3a77eb057866eb8b4bb38a9335789c1a32e38d24190d888

Observation 39b7c915-9f1b-40f3-82e4-2901dfbbb3f8 · outbound

This paper cites Driver drowsiness detection system based on feature representation learning using various deep networks.

Driver Assistance System Based on Multimodal Data Hazard Detection Driver drowsiness detection system based on feature representation learning using various deep networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.496977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.757700Z digest=sha256:d8eab8e43eb2c70ee33ef1bda5c15e5ed50577de1419c3d8d38dbfbdd047ae18

Observation eb388e3c-28d0-486f-abd6-938f63e44439 · outbound

This paper cites The expression of the emotions in man and animals, by charles darwin, 1999.

Driver Assistance System Based on Multimodal Data Hazard Detection The expression of the emotions in man and animals, by charles darwin, 1999

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.479204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.768050Z digest=sha256:99464fd045d60e2bb3e5e9ec9b1f8a89674ad6011e28ad427d886bc56273ec8b

Observation 8fca6e97-92a4-4e60-9e4e-006c76a922b6 · outbound

This paper cites Emotion on the road: necessity, acceptance, and feasibility of affective computing in the car.Advances in human-computer interaction, 2010:1–17, 2010.

Driver Assistance System Based on Multimodal Data Hazard Detection Emotion on the road: necessity, acceptance, and feasibility of affective computing in the car.Advances in human-computer interaction, 2010:1–17, 2010

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.461603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.775008Z digest=sha256:43a0958955b041dad8f926fc08be80d34c058c9d748954417a4690993f626e6a

Observation a6b64cca-08ba-4a17-ae1d-3df8665dadcb · outbound

This paper cites Emotion and gesture recognition with soft computing tool for drivers assistance system in human centered transportation.

Driver Assistance System Based on Multimodal Data Hazard Detection Emotion and gesture recognition with soft computing tool for drivers assistance system in human centered transportation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.443805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.780455Z digest=sha256:6d5a5cee4fe168aab8b15ac0bbaf8809a00ba7dfa222c43d8a6c11a46c56d2ec

Observation b153d9ca-4a3f-40eb-82ab-93c07e5acbca · outbound

This paper cites Performance comparison of facial emotion recognition: a transfer learning-based driver assistance framework for in-vehicle applications.

Driver Assistance System Based on Multimodal Data Hazard Detection Performance comparison of facial emotion recognition: a transfer learning-based driver assistance framework for in-vehicle applications

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.424565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.786664Z digest=sha256:28e0654dfd00e9f726f2eb84efd7b754ff23d66b0c5ae977a84de1e966fcc809

Observation 1d4d8324-4fa5-46a3-8bd1-ccfe9192670e · outbound

This paper cites A review of automated vehicle systems.

Driver Assistance System Based on Multimodal Data Hazard Detection A review of automated vehicle systems

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.404185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.792570Z digest=sha256:56fba2aff0e27b39ba1fed5bcde48d7e79f3474b5a090733fdb07c56aa0f8591

Observation 96364de1-229a-4967-964e-691bd25323a0 · outbound

This paper cites Spatio-temporal action graph networks.

Driver Assistance System Based on Multimodal Data Hazard Detection Spatio-temporal action graph networks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.384955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.800009Z digest=sha256:ad0cd79be0cc53496fd87869f3323756de4f1a09fa4a3eb8899e2ab60d7e15f7

Observation 4afc14f3-e443-4520-99bb-2d47ba8e5b2b · outbound

This paper cites Driver-behavior modeling using on-road driving data: A new application for behavior signal processing.IEEE Signal Processing Magazine, 33(6):14–21, 2016.

Driver Assistance System Based on Multimodal Data Hazard Detection Driver-behavior modeling using on-road driving data: A new application for behavior signal processing.IEEE Signal Processing Magazine, 33(6):14–21, 2016

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.367215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.805732Z digest=sha256:058c13f0318bb58b2d56acfbca1be2cd53bb8651aef0e3bf88a6dff4ea8def0d

Observation e860bd88-94ae-4897-8a38-1bb78b9abdbc · outbound

This paper cites an unresolved cited work.

Driver Assistance System Based on Multimodal Data Hazard Detection Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:20:43.347765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.811818Z digest=sha256:3c47e283ab6469450ebe201e0243f22be81fbf694b2f1f5a252c6d100f1f6182

Observation 3884c11c-6c50-4603-af36-850bd47de62a · outbound

This paper cites Virtual assistants and self-driving cars.

Driver Assistance System Based on Multimodal Data Hazard Detection Virtual assistants and self-driving cars

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.328967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.817419Z digest=sha256:6886579968ac2aeded8ec31bf646534688e0b91e9063134206957b1600e818ba

Observation 7ac16370-cd81-488e-b6ae-154c81a0fadf · outbound

This paper cites Self-attention fusion for audiovisual emotion recognition with incomplete data.

Driver Assistance System Based on Multimodal Data Hazard Detection Self-attention fusion for audiovisual emotion recognition with incomplete data

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.308243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.823245Z digest=sha256:c7c8c532784abbb896ab0016bedfa159eef387a1641a5ab65d950f73451a06fc

Observation 25dba2b4-5b3c-460b-afe8-218ea61a43c1 · outbound

This paper cites Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov.

Driver Assistance System Based on Multimodal Data Hazard Detection Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.288926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.830134Z digest=sha256:32ff0e4abd329d48df69f60cd670d88bf5a97347f90cb8e57d89659bc483e8d9

Observation 730a0e3e-a96a-41c5-a1e2-26c9706ffc05 · outbound

This paper cites Multimodal emotion recognition using cross-modal attention and 1d convolutional neural networks.

Driver Assistance System Based on Multimodal Data Hazard Detection Multimodal emotion recognition using cross-modal attention and 1d convolutional neural networks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.266640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.837135Z digest=sha256:32abafd9e8ed947c82c8db1c3e195df4c82765b3d7ffc94660e9e2b51bd0611d

Observation 2f7a19b7-f110-41bc-a189-7fe334aafd71 · outbound

This paper cites Airsim-w: A simulation environment for wildlife conservation with uavs.

Driver Assistance System Based on Multimodal Data Hazard Detection Airsim-w: A simulation environment for wildlife conservation with uavs

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.245938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.843468Z digest=sha256:748cbc65f176f707009898547bf74ed3599ba534720eadfa0fba994b34eb839c

Observation 3cb5cb7a-413a-480e-ac01-8638eb19e216 · outbound

This paper cites Anomaly detection and localization in crowded scenes.

Driver Assistance System Based on Multimodal Data Hazard Detection Anomaly detection and localization in crowded scenes

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.227589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.851272Z digest=sha256:33e0fd4377b2758d7fadba5de994c7fe9a5b2ace6d9f0d061c40efba2d2cc207

Observation 0aa15214-8b85-4972-a7b7-47002f29a3ba · outbound

This paper cites Future frame prediction for anomaly detection - a new baseline.

Driver Assistance System Based on Multimodal Data Hazard Detection Future frame prediction for anomaly detection - a new baseline

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.208115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.856589Z digest=sha256:88c6fc1af9e6a44579f384684c1f9989f95e62763c2965b0bdd3e2eb8d17e6d1

Observation eb45a578-65fe-4b05-9355-6f39cb5a6c22 · outbound

This paper cites Real-world anomaly detection in surveillance videos.

Driver Assistance System Based on Multimodal Data Hazard Detection Real-world anomaly detection in surveillance videos

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.188892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.862227Z digest=sha256:9099ef0f704f01c8a75240a4659829c1de2f22d1b3a62140c303cbde61b0d99c

Observation e948c75d-4499-4f04-8096-5c06da16ab9d · outbound

This paper cites Anticipating accidents in dashcam videos.

Driver Assistance System Based on Multimodal Data Hazard Detection Anticipating accidents in dashcam videos

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.170000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.868913Z digest=sha256:246c6b416d520d3598d36170a960d7f87adc4901b0ad41e170ea79c61156b58f

Observation 26142377-01c8-4231-9189-ed8d2f2824fd · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Driver Assistance System Based on Multimodal Data Hazard Detection Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T10:20:42.875436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:20:42.875436Z digest=sha256:13073f25222b602f78012e2aa96f668087e451103b1d2d1c70367f908f24ff31

Observation 5d31b0ec-8df4-4e72-a373-b9ccbf2779f5 · outbound

This paper cites Montero, and Fernando Fernández-Martínez.

Driver Assistance System Based on Multimodal Data Hazard Detection Montero, and Fernando Fernández-Martínez

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.137197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.881513Z digest=sha256:c3eb2bb2c56077775d9f6a5783a1e180c5a6109392e3138df9f57688b4d5797e

Observation 8f344374-de9e-4767-a899-fdc2d3431289 · outbound

This paper cites an unresolved cited work.

Driver Assistance System Based on Multimodal Data Hazard Detection Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:20:43.118468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.888384Z digest=sha256:17d7d1f34a415893e0adc326c55b5f7b95d13fb55800f466603addf13451dfe8

Observation a5b8b999-cbd2-4b75-9212-ca5bdc29adfd · outbound

This paper cites Introducing the recola multimodal corpus of remote collaborative and affective interactions.

Driver Assistance System Based on Multimodal Data Hazard Detection Introducing the recola multimodal corpus of remote collaborative and affective interactions

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.098632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.894742Z digest=sha256:2c467918206c567c4e493463fc938884288b894d16a321ce96198de2b616b762

Observation ff107f02-4485-478f-9876-9b01e4d749cd · outbound

This paper cites an unresolved cited work.

Driver Assistance System Based on Multimodal Data Hazard Detection Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:20:43.078642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.900922Z digest=sha256:3b1e2d6d0ded2692efa5e5804ad6a51c738152e5200afcc1d4cb55e5dd8c0de9

Observation 2f692fd7-714d-4e99-bdba-fdfe757551a1 · outbound

This paper cites Abdul and Abdulbasit K.

Driver Assistance System Based on Multimodal Data Hazard Detection Abdul and Abdulbasit K

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.059774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.906558Z digest=sha256:e32511dda18d2d224af392861e4a1f7b156c36f2d18dc21aabf5ed6d8e546501

Observation 87415596-e409-471a-8ee3-f80cbef1291a · outbound

This paper cites A survey on deep learning for multimodal data fusion.

Driver Assistance System Based on Multimodal Data Hazard Detection A survey on deep learning for multimodal data fusion

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.041510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.912344Z digest=sha256:916b3c1bc955f24a0175ec5b94d4593b7439e3de132a17942a4c6be461d60db0

Observation 930bafe6-2c86-4241-8679-4a600b19a5f2 · outbound

This paper cites Attention is all you need.

Driver Assistance System Based on Multimodal Data Hazard Detection Attention is all you need

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.022172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.919284Z digest=sha256:6e0641b876a3081b5e05031924853b3acab87cefcb28e961d84f8d11baa2169b

Observation 98392194-9fcb-456b-b03f-f1b77b3e6e37 · outbound

This paper cites Attention-based residual autoencoder for video anomaly detection.

Driver Assistance System Based on Multimodal Data Hazard Detection Attention-based residual autoencoder for video anomaly detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:20:43.003906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:20:42.925685Z digest=sha256:b5f92f7571971e8625db656c2ae0f2c631369a09fd5c16c5e812f08083a054bd

Pith citing papers

Observation b3acf960-f71c-4116-8e30-68de8d9a8e8c · inbound

RoadFed: A Multimodal Federated Learning System for Improving Road Safety cites this paper.

RoadFed: A Multimodal Federated Learning System for Improving Road Safety Driver Assistance System Based on Multimodal Data Hazard Detection

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:55:12.931735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T19:55:12.555589Z digest=sha256:1adb8ab883340334e5a618e837e02ea63380aa2394aecafb9939a3d441e90ea5

Observation 16407ca4-3b67-411e-9863-eab3d00c32d1 · inbound

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety cites this paper.

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety Driver Assistance System Based on Multimodal Data Hazard Detection

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:55.144129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:55.144129Z digest=sha256:0505c5b321d0a4335dc29469edf56e9aeab81b4b6ed8b794a6f6057ff7fc4eed